With this work in progress we propose a visualization system for stock market charts. Insight into stock charts is important in technical stock market analysis where exclusively the chart shape is considered in decision making. We focus on clustering existing chart shapes. Clustering delivers representative charts representing a set of similar charts. In our work, we generate a 2D map of these representative charts and implement tools like zooming, levels of details and selection. Thus, we present a new approach of automatically generating the whole picture of the stock market dynamics. Keywords Multi-dimensional visualization, information visualization, stock market, technical chart analysis